Authors: Sudhakar Prasad
arXiv
I present several new relations between mutual information (MI) and statistical estimation error for a system that can be regarded simultaneously as a communication channel and as an estimator of an i...
Authors: Christopher R. Genovese
arXiv
Discussion on "Brownian distance covariance" by Gåbor J. Székely and Maria L. Rizzo [arXiv:1010.0297]
Authors: Jithin K S, Vinod Sharma
arXiv
This paper considers cooperative spectrum sensing in Cognitive Radios. In our previous work we have developed DualSPRT, a distributed algorithm for cooperative spectrum sensing using Sequential Probab...
Authors: Julien Bect, David Ginsbourger, Ling Li, Victor Picheny, Emmanuel Vazquez
arXiv
This paper deals with the problem of estimating the volume of the excursion set of a function $f:\mathbb{R}^d \to \mathbb{R}$ above a given threshold, under a probability measure on $\mathbb{R}^d$ tha...
Authors: James G. Scott
arXiv
This paper describes a framework for flexible multiple hypothesis testing of autoregressive time series. The modeling approach is Bayesian, though a blend of frequentist and Bayesian reasoning is used...
Authors: Florian Frommlet, Felix Ruhaltinger, Piotr Twarog, Malgorzata Bogdan
arXiv
For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statist...
Authors: Richard J. Barker, William A. Link
arXiv
Reversible jump Markov chain Monte Carlo (RJMCMC) extends ordinary MCMC methods for use in Bayesian multimodel inference. We show that RJMCMC can be implemented as Gibbs sampling with alternating upda...
Authors: Simona Gallerani, Francisco-Shu Kitaura, Andrea Ferrara
arXiv
We present a novel, fast method to recover the density field through the statistics of the transmitted flux in high redshift quasar absorption spectra. The proposed technique requires the computation...
Authors: David Knowles, Zoubin Ghahramani
arXiv
A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data $\mathbf{Y}$ is modeled as a linear superposition, $\mathbf{G}$, of a potentially infinite number of hidden f...
Authors: Qingyun Wang, Guanrong Chen, Matjaz Perc
arXiv
This paper investigates the dependence of synchronization transitions of bursting oscillations on the information transmission delay over scale-free neuronal networks with attractive and repulsive cou...
Authors: Martin Ehler, Jennifer Galanis
arXiv
Distinguishing between uniform and non-uniform sample distributions is a common problem in directional data analysis; however for many tests, non-uniform distributions exist that fail uniformity rejec...
Authors: Martin Paul Nawrot, Sabine Krofczik, Farzad Farkhooi, Randolf Menzel
arXiv
Insects identify and evaluate behaviorally relevant odorants in complex natural scenes where odor concentrations and mixture composition can change rapidly. In the honeybee, a combinatorial code of ac...
Authors: Muhammad Noor-Ul-Amin
arXiv
This is a case study discussing the supervised artificial neural network for the purpose of forecasting with comparison of the Box-Jenkins methodology by using the data of well known emergency service...
Authors: Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah
arXiv
Choice models, which capture popular preferences over objects of interest, play a key role in making decisions whose eventual outcome is impacted by human choice behavior. In most scenarios, the choic...
Authors: A. G. Shapkin, M. V. Taborov, Yu. G. Shapkin
arXiv
This study demonstrates the capability of external signal recording into memory and the reproduction of memory trace of this pattern in EEG by direct AC electrical stimulation of rat cerebral cortex....